I am principal investigator (PI) at the
ELLIS Institute Tübingen and independent group leader the
MPI for Intelligent Systems. I lead the Deep Models and Optimization group, am a lecturer at the University of Tübingen and faculty for
CLS,
ELLIS,
IMPRS-IS PhD Programs. I proudly am a Schmidt Sciences AI2050 Early Career Fellow.
My goal is to improve
efficiency and accessibility of deep learning technologies in science and engineering by pioneering new architectures and training techniques grounded in theoretical knowledge. My work encompasses two main areas: understanding the intricacies of
large-scale optimization dynamics and designing
innovative architectures and powerful optimizers capable of
reasoning in complex data. Central to my studies is exploring innovative techniques for decoding patterns in complex
sequential data, with implications spanning biology, neuroscience, natural language processing, and music generation.
